Literature DB >> 31559569

Respiratory Virus Infections in People Over 14 Years of Age in Poland in the Epidemic Season of 2017/18.

K Szymański1, K Łuniewska2, E Hallmann-Szelińska2, D Kowalczyk2, R Sałamatin3, A Masny2, L B Brydak2.   

Abstract

People most at risk of influenza complications are the elderly with impaired immunity. Clinical picture of influenza virus infection includes symptoms such as chills, increased body temperature, dry cough, chest pain, or dizziness as well as headaches and muscle aches. In the diagnosis of influenza, quick and effective tests are necessary. Sensitive diagnostic methods of molecular biology require more time, but the result firmly confirm or exclude the presence of the genetic material of influenza or other respiratory viruses. Influenza vaccination plays an important role in combating influenza infection. Unfortunately, the awareness of vaccination benefits is insufficient in Poland. In this study we demonstrate the results of examination of 4,507 people aged over 14 years toward the influenza infection in the epidemic season of 2017/18. Most of the confirmed infections were reported in older people aged over 65, a high-risk population group. A low percentage of the vaccinated population may affect an increased number of confirmed influenza viruses in the elderly. The findings demonstrate a need to increase awareness of vaccination benefits, which is particularly essential to avoid influenza infection in the elderly.

Entities:  

Keywords:  Elderly; Epidemic season; Influenza; Respiratory infection; Respiratory virus vaccination; |Immunity

Mesh:

Substances:

Year:  2019        PMID: 31559569      PMCID: PMC7123271          DOI: 10.1007/5584_2019_437

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


Introduction

There are four types of influenza viruses: A, B, C, and D. Types A and B are responsible for seasonal outbreaks. Type A viruses are divided into subtypes, and currently, there are A/H1N1/pdm09 and A/H3N2/ subtypes circulating in the population, while influenza B viruses belong to two lineages: B/Victoria and B/Yamagata. At present, only type A viruses are responsible for causing a pandemic flu (CDC 2018a; Ghebrehewet et al. 2016). The population groups most vulnerable to complications associated with influenza virus infections are the elderly, children under 5 years of age, people with chronic diseases, pregnant women, health care workers, and people with immunological diseases that impair natural immunity (WHO 2018). General symptoms of influenza virus infection consist of a sudden appearance of high fever, cough, headache, myalgia, and general malaise. Respiratory symptoms include sore throat and dry painful cough. In addition, symptoms from other organ systems may appear such as anorexia, dizziness, muscle pain, and nausea and vomiting in children. These symptoms would appear after a short incubation period of 1–2 days (ECDC 2018; Paules and Subbarao 2017). An effective laboratory diagnosis of influenza is necessary to promptly provide appropriate antiviral treatment of infection. The fastest diagnostic method is a rapid influenza swab-based testing that shows sensitivity of about 70% or between 27% and 61%, depending on the source. The advantage of this test the speed as it takes 15–30 min to complete and the ease of performing it as it can be done outside a specialized laboratory. The disadvantage, however, is a substantial risk of false negative results due to rather low sensitivity or false positive results due to misinterpretation of weak bands in the test (Dwyer et al. 2006). The reverse transcription-polymerase chain reaction (RT-PCR) remains the most sensitive method for the detection of viral genetic material. This method takes less than a working day to complete a test and the advantage is the ability to detect more than just one respiratory virus when a multiplex set is used. Another possible method is the immunofluorescence-based reaction of hemagglutination inhibition, which defines the antiviral antibody titers (Kissova et al. 2014). Protective vaccination is important in combating the influenza virus. Studies have shown that people vaccinated against influenza have significantly fewer influenza-like virus infections (Taksler et al. 2015). The knowledge about the benefits of influenza vaccination is insufficient in Poland, among both the medical personnel and the lay public. Parents do not vaccinate their children against influenza due mostly to the lack of knowledge about the benefits of it (Wozniak-Kosek et al. 2015). The risk–benefit ratio of vaccination has changed downward over the past decades, reducing mortality, particularly among adults (Pfleiderer 2014; Brydak 2012). A greater coverage rate of vaccination also substantially reduces the economic impact of influenza infection. A previous study showed that about 50% of older people who had been vaccinated developed influenza in the season of 2015/16, but they did not require hospitalization, which points to a mild course of the infection. Influenza vaccine also is fully effective in older people with the underlying chronic pathological conditions (Rondy et al. 2017). The present study seeks to determine the incidence of influenza infection in persons aged over 14 years in the epidemic season of 2017/18 in Poland.

Methods

Patients and Samples

In this study we examined over 4507 specimens obtained from patients over 14 years of age during the epidemic influenza season of 2017/18 in Poland. The specimens consisted of throat and nasal swabs or of bronchial tree lavage. The patients were divided into the following age groups: 15–25, 26–44, 45–64, and 65+ years of age. Genetic material of respiratory viruses was isolated from the specimens, using 200 μL samples suspended in sterile phosphate-buffered saline solution. Viral RNA was isolated with the Maxwell 16 Viral Total Nucleic Acid Purification Kit (Promega Corporation; Madison, WI). The procedure was carried out in accordance with the manufacturer’s instructions.

Molecular Procedures

Real-Time Polymerase Chain Reaction (PCR)

The primers and probes were obtained from the International Reagent Resource run by the Centers for Disease Control and Prevention (CDC) in the US. Briefly, RNA was reversely transcribed at 50 °C for 30 min. The DNA obtained was subjected to the initial denaturation process (1 cycle at 95 °C for 2 min), followed by 45 cycles of amplification consisting of denaturation at 95 °C for 15 s, annealing at 55 °C for 10 s, and elongation at 72 °C for 20 s. Positive control was the viral RNA obtained from the vaccine strains for the epidemic season of 2017/18 (A/Michigan/45/2015 pdm09-like virus, A/HongKong/4801/2014, and B/Brisbane/60/2008), and negative control was RNase-free water. The PCR reactions were performed using the LightCycler 2.0 System (Roche Diagnostics; Rotkreuz, Switzerland).

Conventional Multiplex PCR

The tests were performed to identify the presence of the following respiratory viruses in the sampled material: influenza A and B; adenovirus; respiratory syncytial virus (RSV) A and B; human metapneumovirus (hMPV); human coronavirus (hCoV); human parainfluenza viruses 1, 2, 3; human bocavirus; and enterovirus. The RV15 OneStep ACE Detection Kit (Seegene; Seoul, South Korea) was used to determine the infection by the influenza-like viruses above outlined.

Results and Discussion

Distribution of the investigated specimens by age of patients is presented in Fig. 1. The patients aged 65+ constituted the most numerous group, followed by the groups of 45–64 and 26–44 years of age, with the least numerous being 15–25 years group. The prevailing type of infection was influenza B virus, followed by type A unsubtyped and the A/H1N1/pdm09 and A/H3N2/ subtypes (Fig. 2).
Fig. 1

Percentage distribution of investigated specimens by patients’ age during the influenza epidemic season of 2017/18 in Poland

Fig. 2

Prevalence of confirmed infections with influenza viruses in patients over 14 years of age during the epidemic season of 2017/18 in Poland

Percentage distribution of investigated specimens by patients’ age during the influenza epidemic season of 2017/18 in Poland Prevalence of confirmed infections with influenza viruses in patients over 14 years of age during the epidemic season of 2017/18 in Poland Concerning the prevailing influenza type B infections, the greatest incidence was reported in persons aged 65+, followed by the groups of 15–25, 45–64, and 26–44 years of age. The majority of infections with type A virus unsubtyped were recorded in the group of 26–44 years of age, followed by the groups of 45–64 and 65+ years of age, with the least frequent in the 15–25 years group. The A/H1N1/pdm09 subtype was noted, in decreasing order of frequency, in the groups of 26–44, 45–64, 15–25, and 65+ years of age. The prevalence of infections with the A/H3N2/ subtype did not exceed 1.5% in any of the age groups. This subtype was the most prevalent pathogen in the group of 15–25 years of age, with a decreasing incidence in the successive age groups to reach a barely noticeable level of 0.29% in the elderly (Fig. 3).
Fig. 3

Percentage distribution of confirmed infections with influenza viruses and their subtypes by successive age groups during the epidemic season of 2017/18 in Poland

Percentage distribution of confirmed infections with influenza viruses and their subtypes by successive age groups during the epidemic season of 2017/18 in Poland In contradistinction to influenza infections, influenza-like infections with respiratory viruses were most often diagnosed in the youngest adult group of 15–25 years of age. One half of these infections were due to RSV, followed by PIV-1 and 2, hCoV, and hMPV. In the group of 26–44 years of age, a similar number of respiratory viruses was detected, with RSV, PIV-2 and 3, and rhinovirus being the most frequently detected. The frequency of detection of respiratory viruses decreased with patients’ age. Fewer viruses were detected in the 45–64 age group, and they were identified as RSV, PIV-1, and coronavirus. The most seldom infections were reported in the elderly, in whom RSV was most frequently, followed by PIV-1 (Fig. 4).
Fig. 4

Prevalence of confirmed infections with respiratory viruses in patients over 14 years of age during the epidemic season of 2017/18 in Poland. RSV respiratory syncytial virus, PIV parainfluenza virus, hMPV human metapneumovirus

Prevalence of confirmed infections with respiratory viruses in patients over 14 years of age during the epidemic season of 2017/18 in Poland. RSV respiratory syncytial virus, PIV parainfluenza virus, hMPV human metapneumovirus In the epidemic season of 2017/18 in Poland, there were 2,971,031 cases and suspected cases of infection with influenza viruses in persons over 14 years of age, of which 2,455,933 cases occurred in people aged 15–64 years and 515,098 in those over 65 years of age. The percentage of people vaccinated against influenza in the fall of 2017 was 1.57% and 7.52% in the respective cohorts. For comparison, the vaccination rate was 3.7% in the 2017/18 season in the population of the entire country (PZH 2018). To protect the population from complications resulting from influenza infection, it is paramount to increase the vaccination coverage, mainly in people at risk of infection. The greater the number of people inoculated in their environment, the lower is the general risk of infection. Thus, those who cannot be vaccinated against influenza, for instance, due to allergies to vaccine ingredients, such as gelatin or some antibiotics, which often concerns children below the age of 6 months, would also be protected to an extent on the basis of collective resistance (CDC 2018b). Previous studies have shown that the vaccination coverage in a population should range from 33% to 73% to maximize the benefits of collective immunity and to reduce the transmission of influenza viruses (Logan et al. 2018; Plans-Rubió 2012). The present report demonstrates that influenza viruses can infect an adult person of any age. A study by Caini et al. (2018) have pointed, however, to the possibility of some age-dependent patterns of infection in that influenza B is more frequently detected in older children, while the subtype A(H3N2) is more common in the elderly. In the 2017/18 influenza epidemic season, a larger number of specimens taken from people above 14 years of age were analyzed compared to the past 2016/17 season; 4507 and 2882, respectively (Kowalczyk et al. 2018). The distribution of infections among the age groups was, however, similar in the two seasons, with the larger number of positive results recorded in people over 65 years of age and a decreasing number of infections with decreasing age, with the smallest number in the 15–25 years group. In conclusion, the findings of this report emphasize a need to increase awareness of vaccination benefits, which is particularly essential to avoid influenza infection in the elderly.
  12 in total

1.  The vaccination coverage required to establish herd immunity against influenza viruses.

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3.  'What have you HEARD about the HERD?' Does education about local influenza vaccination coverage and herd immunity affect willingness to vaccinate?

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Review 4.  Summary of knowledge gaps related to quality and efficacy of current influenza vaccines.

Authors:  Michael Pfleiderer; Jean-Hugues Trouvin; Daniel Brasseur; Marta Gränstrom; Ragini Shivji; Manuela Mura; Marco Cavaleri
Journal:  Vaccine       Date:  2014-06-20       Impact factor: 3.641

5.  Factors affecting the success of influenza laboratory diagnosis.

Authors:  Renáta Kissová; Marek Svitok; Cyril Klement; Lucia Mad'arová
Journal:  Cent Eur J Public Health       Date:  2014-09       Impact factor: 1.163

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Authors:  Sam Ghebrehewet; Peter MacPherson; Antonia Ho
Journal:  BMJ       Date:  2016-12-07

7.  2015/16 seasonal vaccine effectiveness against hospitalisation with influenza A(H1N1)pdm09 and B among elderly people in Europe: results from the I-MOVE+ project.

Authors:  Marc Rondy; Amparo Larrauri; Itziar Casado; Valeria Alfonsi; Daniela Pitigoi; Odile Launay; Ritva K Syrjänen; Giedre Gefenaite; Ausenda Machado; Vesna Višekruna Vučina; Judith Krisztina Horváth; Iwona Paradowska-Stankiewicz; Sierk D Marbus; Alin Gherasim; Jorge Alberto Díaz-González; Caterina Rizzo; Alina E Ivanciuc; Florence Galtier; Niina Ikonen; Aukse Mickiene; Veronica Gomez; Sanja Kurečić Filipović; Annamária Ferenczi; Monika R Korcinska; Rianne van Gageldonk-Lafeber; Marta Valenciano
Journal:  Euro Surveill       Date:  2017-07-27

8.  Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014.

Authors:  Saverio Caini; Peter Spreeuwenberg; Gabriela F Kusznierz; Juan Manuel Rudi; Rhonda Owen; Kate Pennington; Sonam Wangchuk; Sonam Gyeltshen; Walquiria Aparecida Ferreira de Almeida; Cláudio Maierovitch Pessanha Henriques; Richard Njouom; Marie-Astrid Vernet; Rodrigo A Fasce; Winston Andrade; Hongjie Yu; Luzhao Feng; Juan Yang; Zhibin Peng; Jenny Lara; Alfredo Bruno; Doménica de Mora; Celina de Lozano; Maria Zambon; Richard Pebody; Leticia Castillo; Alexey W Clara; Maria Luisa Matute; Herman Kosasih; Simona Puzelli; Caterina Rizzo; Herve A Kadjo; Coulibaly Daouda; Lyazzat Kiyanbekova; Akerke Ospanova; Joshua A Mott; Gideon O Emukule; Jean-Michel Heraud; Norosoa Harline Razanajatovo; Amal Barakat; Fatima El Falaki; Sue Q Huang; Liza Lopez; Angel Balmaseda; Brechla Moreno; Ana Paula Rodrigues; Raquel Guiomar; Li Wei Ang; Vernon Jian Ming Lee; Marietjie Venter; Cheryl Cohen; Selim Badur; Meral A Ciblak; Alla Mironenko; Olha Holubka; Joseph Bresee; Lynnette Brammer; Phuong Vu Mai Hoang; Mai Thi Quynh Le; Douglas Fleming; Clotilde El-Guerche Séblain; François Schellevis; John Paget
Journal:  BMC Infect Dis       Date:  2018-06-08       Impact factor: 3.090

Review 9.  Laboratory diagnosis of human seasonal and pandemic influenza virus infection.

Authors:  Dominic E Dwyer; David W Smith; Michael G Catton; Ian G Barr
Journal:  Med J Aust       Date:  2006-11-20       Impact factor: 7.738

10.  Respiratory Infections with Particular Emphasis on Influenza Virus Activity in Persons Over 14 Years of Age in the Epidemic Season 2016/2017 in Poland.

Authors:  D Kowalczyk; K Szymański; K Cieślak; E Hallmann-Szelińska; L B Brydak
Journal:  Adv Exp Med Biol       Date:  2018       Impact factor: 2.622

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